Grant: Alliance Grants
The University of Western Ontario
$40,000.00
Remote and autonomous structural health monitoring system of concrete dams
EF 2024-25
Résumé
Structural Health Monitoring (SHM) has huge potential to detect incipient structural failures in various components, e.g., the onset of fatigue damage, corrosion, spalling and delamination in the structures during their service life so that preventive measures can be undertaken in a timely manner. This has prompted several public and private infrastructure owners to employ SHM strategies on many of their existing critical systems. St. Clair Region Conservation Authority (SCRCA), the industry partner of this project, has felt an immediate need for real-time monitoring of W. Darcy McKeough Floodway, one of the flood control dams that has been subjected to fluctuating operational conditions, adverse weather and climate change over many years. In fact, the McKeough dam is very close to the end of its service life, and it is important to detect incipient damage or unexpected changes so that any major breakdown can be avoided to save the local community from floods. The main objective of this project is to develop a revolutionary automated diagnostic system for remote inspection of concrete dams by harnessing next-generation sensors. This Alliance project will evaluate internal damage progression using acoustic sensing, whereas the external damage will be monitored and localized using innovative drone-based mapping and artificial intelligence (AI). The novelty of this project is to leverage the capabilities of advanced sensing technology and AI to automate data acquisition and diagnostics for the dam infrastructure with limited available data. The outcome of this project will lead to an increased life span for aging dam infrastructure, thereby reducing the need for its demolition and for new construction. The project will also create smart, fault-tolerant, and fast asset management systems that will enable net-zero CO2 emissions, substantial cost savings, and, most importantly, reductions in human effort and erroneous fault maintenance processes for infrastructure owners, leading to safer, sustainable, and environmentally friendly water distribution management for our society and meeting the demand of Canada's rapidly growing population.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
598489-2024
Name nom
Sadhu, Ayan A
Department département
Civil and Environmental Engineering
Organization id
36
Institution établissement
The University of Western Ontario
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
40000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
601
Area of application group en
Construction, urban and rural planning
Area of application group fr
Construction, urbanisme et aménagement rural
Area of application en
Structural engineering
Area of application fr
Génie des charpentes
Research subject code
1100
Research subject group en
Structural engineering
Research subject group fr
Génie des structures
Research subject en
Structural engineering
Research subject fr
Génie des structures
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Remote and autonomous structural health monitoring system of concrete dams
Keywords
acoustic sensing; artificial intelligence; damage detection; diagnosis and maintenance; drone technology; instrumentation; structural health monitoring; time-series
Application summary
Structural Health Monitoring (SHM) has huge potential to detect incipient structural failures in various components, e.g., the onset of fatigue damage, corrosion, spalling and delamination in the structures during their service life so that preventive measures can be undertaken in a timely manner. This has prompted several public and private infrastructure owners to employ SHM strategies on many of their existing critical systems. St. Clair Region Conservation Authority (SCRCA), the industry partner of this project, has felt an immediate need for real-time monitoring of W. Darcy McKeough Floodway, one of the flood control dams that has been subjected to fluctuating operational conditions, adverse weather and climate change over many years. In fact, the McKeough dam is very close to the end of its service life, and it is important to detect incipient damage or unexpected changes so that any major breakdown can be avoided to save the local community from floods. The main objective of this project is to develop a revolutionary automated diagnostic system for remote inspection of concrete dams by harnessing next-generation sensors. This Alliance project will evaluate internal damage progression using acoustic sensing, whereas the external damage will be monitored and localized using innovative drone-based mapping and artificial intelligence (AI). The novelty of this project is to leverage the capabilities of advanced sensing technology and AI to automate data acquisition and diagnostics for the dam infrastructure with limited available data. The outcome of this project will lead to an increased life span for aging dam infrastructure, thereby reducing the need for its demolition and for new construction. The project will also create smart, fault-tolerant, and fast asset management systems that will enable net-zero CO2 emissions, substantial cost savings, and, most importantly, reductions in human effort and erroneous fault maintenance processes for infrastructure owners, leading to safer, sustainable, and environmentally friendly water distribution management for our society and meeting the demand of Canada's rapidly growing population.